Study on Density Stratified Flow due to Thermal Disturbances at Step Region in Shallow Standing Water Areas

研究了浅水区在水面扰动下引起的水流和水温空间结构，这与浅水区水质和污染控制有关。扰动是热扰动，是太阳对水面加热和冷却的日循环，通过现场观测，研究发现，在水面加热过程中，表面区域的强热稳定性阻止了通过密度界面的上下层之间的垂直传质，另一方面，结果表明，在地面冷却过程中，由于热混合层的发展，使热对流单体的尺度增大，并在密度界面上产生垂直混合，智能模型（反馈式人工神经网络模型）是感潮河道短期水位预报的有效技术，以实测资料和试验资料为基础的二维垂向热对流模型，可以模拟有无温度分层时由于水面冷却而形成的热对流单体的形成和发展过程。

Flow and water temperature spatial structures caused by disturbances added to the water surface , which were concerned with water quality and pollution control in shallow standing water areas, were studied. Disturbances are thermal , which are the daily cycle of solar heating and cooling on the water surface.It was investigated that Strong thermal stability of the surface zone during heating on the surface prevented the vertical mass transfer between upper and lower layer through the density interface from field observation, On the other hand, it was founded that the thermal mixed layer developping during cooling from the surface increased the scale of thermal convective cells and produced the vertical mixing at the density interface.It was suggested that an Artificial Intelligence model ( a feedback artificial neural network model) was an effective techinique for the short-term water-stage prediction in a tidal river.It was showned that two dimensional vertical thermal convective model , which was based on field and experimental data, could be simulated forming and developping processes of thermal convective cells due to cooling on the water surface both with and witout thermal stratification.